Data-driven Evolution and biodiversity
The subject area concerns research that takes advantage of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. This research subject area aims to lead the development or application of novel methods relying on machine learning, artificial intelligence, or other computational techniques to analyze these data and take advantage of such methods in addressing major scientific questions in evolution and biodiversity.
Research area-specific DDLS Fellows
The DDLS Fellows program is a career program aiming at accelerating the data-driven paradigm shift in life sciences. The DDLS Fellows will form the base of the next-generation of data-driven life scientists in Sweden, and create globally leading computational and data science capabilities.
Meet the Data-driven Evolution and Biodiversity fellows:
Interview with Tom van der Valk (NRM)
Interview with Tobias Andermann (UU)
Interview with Kelly Swarts (SLU)
Contact information:
Research area specific expert group
The DDLS-Steering group has appointed research area (RA) specific expert groups to plan,
coordinate and steer activities within each RA. The members were selected in an open call for nominations.
The role of a DDLS research area specific expert group is to:
• advise on research area specific strategies and research profiles for the scientific programs of the DDLS
• suggest and co-organize activities and community events around the research area topics.
• advise on the design of calls and take part in evaluation or pre-screening of grant calls.
• advise and support the DDLS fellows, post docs and PhDs within the area.
• advise and support DDLS data services and bioinformatics support, the training hub and research school within each research area.
• engage the national DDLS community within each RA, consider policy issues as well as relevant ethical, legal and societal challenges.
Members of The Data-driven Evolution & Biodiversity expert group:
Christine Bacon, University of Gothenburg
Tanja Slotte, Stockholm University
Courtney Stairs, Lund University
Erik Svensson, Lund University
Matthew Webster, Uppsala University
Sara Hallin, Swedish University of Agricultural Sciences
Juan Rocha, Stockholm Resilience Centre, Stockholm University
Fredrik Ronquist, The Swedish Museum of Natural History (chair and member of the DDLS steering group)
News article: DDLS Evolution and biodiversity research area specific expert group appointed
Research area lead and coordination
Research area lead for the Data-driven Evolution & Biodiversity research area is Fredrik Ronquist (NRM) and coordinator is Emma Granqvist (NRM).
Please reach out with any questions, suggestions or research collaboration inquiries.